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Medical Image Diagnostic Value of Computed Tomography for Bladder Tumors
OBJECTIVE: To study computed tomography (CT) imaging characteristics of bladder tumors, to explore the value of CT in tumor diagnosis, and to identify the relevant factors of CT missed diagnosis so that medical staff can be more accurate in the diagnosis of bladder tumors. METHODS: To retrospectivel...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610659/ https://www.ncbi.nlm.nih.gov/pubmed/34824598 http://dx.doi.org/10.1155/2021/3781028 |
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author | Li, Lin Na, Risu Mi, Tao Cheng, Hao Ma, Lili Chen, Guojun |
author_facet | Li, Lin Na, Risu Mi, Tao Cheng, Hao Ma, Lili Chen, Guojun |
author_sort | Li, Lin |
collection | PubMed |
description | OBJECTIVE: To study computed tomography (CT) imaging characteristics of bladder tumors, to explore the value of CT in tumor diagnosis, and to identify the relevant factors of CT missed diagnosis so that medical staff can be more accurate in the diagnosis of bladder tumors. METHODS: To retrospectively analyze the CT manifestations of 153 bladder tumor cases confirmed by paraffin pathology in our hospital and to study the difference between the benign and CT imaging features. CT indicators mainly include the number, location, morphology, calcification, bladder wall smoothness, CT value, degree of enhancement, and invasion of surrounding tissues and organs. Then, we retrospectively analyze 17 cases of CT missed diagnosis of bladder tumors, analyze related factors, and discuss the role of CT in the diagnosis of bladder tumors. RESULTS: This study has shown that with the help of CT images, the diagnosis rate of bladder tumors has been greatly improved. Of the 153 patients studied, noninvasive urothelial carcinoma accounted for 18.95% of all benign and malignant bladder tumors, invasive urothelial carcinoma accounted for 67.93%, prostatic metastatic carcinoma and inflammatory myofibroblastoma accounted for 8.47%, pheochromocytoma accounted for 1.31%, inverted papilloma accounted for 1.31%, tubular choriocarcinoma accounted for 0.63%, and endocystitis accounted for 1.31%. In addition, the blood supply level, CT index bladder wall smoothness, and CT value are also statistically significant (P < 0.05). CONCLUSIONS: CT is of high value in the diagnosis of bladder tumors, and benign and malignant bladder tumors have CT and CT imaging features. The size of bladder tumors is related to the missed diagnosis rate of CT. The application of CT examination technology can improve the accuracy of diagnosis of bladder tumors. |
format | Online Article Text |
id | pubmed-8610659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-86106592021-11-24 Medical Image Diagnostic Value of Computed Tomography for Bladder Tumors Li, Lin Na, Risu Mi, Tao Cheng, Hao Ma, Lili Chen, Guojun Comput Math Methods Med Research Article OBJECTIVE: To study computed tomography (CT) imaging characteristics of bladder tumors, to explore the value of CT in tumor diagnosis, and to identify the relevant factors of CT missed diagnosis so that medical staff can be more accurate in the diagnosis of bladder tumors. METHODS: To retrospectively analyze the CT manifestations of 153 bladder tumor cases confirmed by paraffin pathology in our hospital and to study the difference between the benign and CT imaging features. CT indicators mainly include the number, location, morphology, calcification, bladder wall smoothness, CT value, degree of enhancement, and invasion of surrounding tissues and organs. Then, we retrospectively analyze 17 cases of CT missed diagnosis of bladder tumors, analyze related factors, and discuss the role of CT in the diagnosis of bladder tumors. RESULTS: This study has shown that with the help of CT images, the diagnosis rate of bladder tumors has been greatly improved. Of the 153 patients studied, noninvasive urothelial carcinoma accounted for 18.95% of all benign and malignant bladder tumors, invasive urothelial carcinoma accounted for 67.93%, prostatic metastatic carcinoma and inflammatory myofibroblastoma accounted for 8.47%, pheochromocytoma accounted for 1.31%, inverted papilloma accounted for 1.31%, tubular choriocarcinoma accounted for 0.63%, and endocystitis accounted for 1.31%. In addition, the blood supply level, CT index bladder wall smoothness, and CT value are also statistically significant (P < 0.05). CONCLUSIONS: CT is of high value in the diagnosis of bladder tumors, and benign and malignant bladder tumors have CT and CT imaging features. The size of bladder tumors is related to the missed diagnosis rate of CT. The application of CT examination technology can improve the accuracy of diagnosis of bladder tumors. Hindawi 2021-11-16 /pmc/articles/PMC8610659/ /pubmed/34824598 http://dx.doi.org/10.1155/2021/3781028 Text en Copyright © 2021 Lin Li et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Lin Na, Risu Mi, Tao Cheng, Hao Ma, Lili Chen, Guojun Medical Image Diagnostic Value of Computed Tomography for Bladder Tumors |
title | Medical Image Diagnostic Value of Computed Tomography for Bladder Tumors |
title_full | Medical Image Diagnostic Value of Computed Tomography for Bladder Tumors |
title_fullStr | Medical Image Diagnostic Value of Computed Tomography for Bladder Tumors |
title_full_unstemmed | Medical Image Diagnostic Value of Computed Tomography for Bladder Tumors |
title_short | Medical Image Diagnostic Value of Computed Tomography for Bladder Tumors |
title_sort | medical image diagnostic value of computed tomography for bladder tumors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610659/ https://www.ncbi.nlm.nih.gov/pubmed/34824598 http://dx.doi.org/10.1155/2021/3781028 |
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